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Objective: This paper refers to a New Rough Set neural network based on SOFM. The model perfectly solves many problems, such as the effects of training sample size and sample quality on accuracy of artificial neural network. Besides, the new network has reduced computation and time training needed, simplified the neural network structure and improved the system speed. Method: Combining the rough set...
Network is more and more popular in the present society. Least squares support vector machine is a kind modified support vector machine for classification, which can solve a convex quadratic programming problem. Least squares support vector machine is presented to network intrusion detection. We apply KDDCUP99 experimental data of MIT Lincoln Laboratory to research the classification performance of...
It is significant to control network congestion by time series forecasting research for network flow. The hybrid method of particle swarm optimization algorithm and RBF neural network is applied to predict network flow and gain the desirable network flow prediction results. In the hybrid method, particle swarm optimization algorithm is selected and adjusted to the connection weights and the center...
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